The Rise of AI Shopping Assistants: Are Product Pages the New Ads?
By Sophie Cameron, Paid Media Account Executive (CA)
According to McKinsey’s 2026 ConsumerWise survey, 62% of U.S. consumers have used AI to compare products, brands, prices and reviews, while 55% have used it to learn more about a product or a category. A few months ago, someone buying a new pair of headphones would probably Google it, open five different tabs, compare prices, read reviews and maybe click on a few sponsored ads along the way. Now, more and more people are skipping that process altogether. Instead, they’re asking ChatGPT, Google AI Shopping or Amazon Rufus something like, “What’s the best pair of noise-cancelling headphones under $300?” and getting a curated recommendation in seconds.
From Keywords to Conversations
The biggest difference is that people are no longer searching with keywords. They’re having conversations. Instead of typing “best running shoes,” they’re asking for recommendations based on their budget, lifestyle or specific needs. The AI agent then pulls together product information, reviews, specifications and other available data to suggest a handful of products.
That means brands have fewer opportunities to stand out through traditional search results. If an AI only recommends three products instead of showing hundreds of listings, earning one of those recommendations becomes incredibly valuable. Because of this, product detail pages are becoming more important than ever. In the past, I thought of a product page as something that convinced a shopper after they clicked an ad. Now, it’s becoming one of the main sources AI relies on when deciding whether to recommend a product.
What AI Looks for in Product Pages and Reviews
A strong product page goes beyond a catchy headline and a few images. It should include clear product descriptions, accurate specifications, high-quality photos, updated pricing and answers to common customer questions. The more complete and informative a page is, the easier it is for AI to understand what the product does and who it’s best suited for.
Reviews are becoming just as important. Most of us already read reviews before making a purchase, but AI shopping assistants take it one step further. Rather than showing hundreds of individual reviews, they can summarise what customers consistently liked or disliked about a product. Using sentiment analysis, AI scans for specific themes and nuanced phrasing across hundreds of reviews rather than just looking at a 5-star average. If dozens of people mention that a backpack is comfortable for travel but lacks storage, AI can highlight those patterns almost instantly. Because AI favours detailed context over short, generic compliments like “great product”, encouraging authentic feedback that highlights real-world use cases becomes a massive competitive advantage for brands.
How can Businesses Prepare for This Shift?
It starts with making product information as complete and accurate as possible. Product feeds should be updated regularly, descriptions should answer real customer questions, and structured data should be implemented wherever possible. Encouraging authentic customer reviews is also becoming less of a “nice to have” and more of a necessity.
This also has interesting implications for PPC. Paid search isn’t disappearing, but its role is evolving. Instead of relying on keywords and bids, successful campaigns will increasingly rely on the quality of the information behind the products themselves. Google’s Performance Max campaigns already reward brands with strong Merchant Centre feeds and rich product data, and merchant feeds are rapidly expanding beyond basic prices and titles to include conversational attributes and structured metadata. I wouldn’t be surprised if that trend continues as AI shopping becomes more common, with paid strategies relying just as much on off-site brand authority and rich data feeds to power dynamic, chat-based ad formats.
Overall, AI shopping assistants aren’t replacing traditional e-commerce. They’re simply changing how people discover products. Brands that invest in detailed product pages, trustworthy reviews and accurate product data will likely be in a much stronger position as AI becomes a bigger part of the shopping experience.
The way people shop online has changed many times over the years, from desktop to mobile and from search engines to social commerce. AI shopping feels like the next step in that evolution. Instead of focusing only on getting people to click an ad, brands should also think about whether their products are providing AI with enough information to recommend them confidently. In the near future, having a great product page may be just as important as having a great ad.
Sources:
- McKinsey. 2026. An update on US consumer sentiment: Gloomier outlook ahead of sunnier days. Available online at: https://www.mckinsey.com/industries/consumer-packaged-goods/our-insights/the-state-of-the-us-consumer
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